I am aware that there are similar questions on this site, however, none of them seem to answer my question sufficiently.
I am performing a multivariate regression in order to predict real estate da

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I am trying to understand the Bayesian logic. Let's say we flip the coin 50 times and 35 were heads. What is our best estimate of the true heads rate?
First, I followed the likelihood definition wh

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What can we say for the results, if they are correlated or no when we have: r=0.49, p=1.3x10^-6
This question is just about interpretation of results.
Thanks

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Is it generally ok to change the intercept value in a GLM to predict a price of a similar product that I don't have enough data on?
Here is my dilemma, I have a tech product with various features a

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I am working on simulating a random-effects-model for comparison of the DerSimonian-Laird-method vs. Hartung-Knapp-Sidik-Jonkman-method in R. To do so, I chose different combinations of mu (true tre

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i have following expression and i need to calculate time complexity of this algorithm. could anybody help to get correct time complexity of this algorithms.
for( i = 0; i < maxiter; i++)
{
x^

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I know the formula for fitting a line on the dataset is
Y = b0 + b1*x
and we can find b1 and b0 by the following equations:
b1 = Σ [ (xi – x)(yi – y) ] / Σ [ (xi – x)^2]
and
b0 = y - b1*x

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I am relatively new to programming in R and I'm currently working on a project to create a neural network with the neuralnet package.
Normally after I finish training a neural network I plot it wh

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I want to test the difference between two means but I'm not sure whether it is statistically valid to do so.
The 2 groups I want to compare both have 90 AUC scores and come from 3 different experim

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Take this network: https://i.stack.imgur.com/nHnqk.png
How would I calculate P(J|S∩E)? I don't understand how they can be given since they are not connected directly.
Any suggestions would be greatly appreciated!

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I would like to test the significance of my random effects term after multiple imputation with mice. I have two nested models which I try to compare with pool compare, however this creates some erro

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I wrote a markov chain monte carlo program that samples a 2.5D probability density. 2.5 because the first two dimensions are connected and we look at the map of T=t1-t2 vs Gamma. (see hist2d represe

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I have a dataset on a meshgrid that is well normalized and I need to draw a contour that encases 50% of the data inside of it that is centered around the bright pixel in the middle. How does one do that?

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I found a note in internet that Median equal to the mode in the bell-shaped “normal” distribution.

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How to evaluate J=P(0<=Z<=1), where Z~N(0,1) using Riemann sums?
so J is the integral from 0 to 1 of the function (1/sqrt(2*pi))*exp^((-x^2)/2)
Here is my approach to implement this in R
m<-

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I was hoping for some consultation with how to go about the following:
To give context, I work for an agency that manages advertisements on social media for general motors - specifically their car

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I'm trying to generate a data frame in the success/number of trials syntax in order to proceed with an Exact logistic regression (as shown here https://stats.idre.ucla.edu/r/dae/exact-logistic-regr

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while executing the the reshape function (see below) I get the following error: Error in reshape : Length of 'varying' must be product of length 'v.names' and 'times' even though they have the same

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Consider a Markov Chain as the random walk over the integers. Consider also Sn r.v. that takes values on S={-1,0,1} with probabilities beta,gamma and alpha. Start with X1=0. Then Xn=X_{n-1}+Sn, for

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I am using Kolmogorov-Smirnov and Jaccard's Ratio to identify if a correlation exists between 2 lists of text words (the lists are ranked 1-n, different number of items in each list and there is onl

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